MLOps & GenAI Platform Engineer (m/f/d)

About the role

We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and

Benefits

Additional Information

You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide? Then join our Data Science team and design and build scalable solutions for classical ML use cases and next-generation LLMOps workloads, directly influencing the experience of millions of customers and advancing SIXT's AI capabilities. If you are passionate about innovative AI platforms and want to make an impact, apply now and become part of Team Orange in Pullach close to Munich! YOUR ROLE AT SIXT You design and build the central MLOps/LLMOps Platform covering the full lifecycle of classical ML and Agentic/GenAI workloads You architect robust CI/CD workflows and self-service capabilities empowering Data Scientists and ML Engineers to deploy models and agents independently You build and evolve the Agentic Platform on AWS Bedrock utilizing frameworks like LangGraph or comparable tools You collaborate with Data Scientists, ML Engineers, and Infrastructure teams to translate requirements into scalable platform capabilities You establish and promote MLOps and LLMOps best practices through training, documentation, and hands-on support You optimize infrastructure costs and observability by implementing efficient resource management and intelligent automation YOUR SKILLS MATTER Experience You bring proven experience in MLOps, LLMOps, ML Engineering, or DevOps with a successful track record in production ML or GenAI platforms Know-how You possess hands-on expertise with AWS SageMaker, AWS Bedrock, LangGraph, LangChain or similar AI stacks Skills You understand ML and LLM lifecycles and are skilled in containerization (Docker, Kubernetes), CI/CD tooling, and modern monitoring solutions Motivation You have driven organizational platform adoption across multiple teams and thrive fostering change and innovation Communication You excel at explaining complex technical topics to diverse audiences and influencing decision-making in an international environment Background You have a solution-oriented mindset, love automation, and keep up-to-date with trends in ML, LLM, and Agentic AI

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